Title
Clustering based power saving algorithm for self-organized sleep mode in femtocell networks
Abstract
A large-scale deployment of femtocell BSs (FBSs) causes the substantial energy consumption. One fairly intuitive way to minimize the energy consumption is to switch off the wireless air interface, or to keep FBSs in the energy saving mode for the most time while preserving the quality of service (QoS) experienced by users. Utilizing this concept, this paper proposes a clustering based power saving algorithm (CPSA) for self-organized sleep mode in femtocell networks. Firstly, CPSA builds a leader-member cluster framework, in which each FBS is either a FBS leader (FL) or a FBS member (FM). Then, the FL acts as an autonomous entity and is responsible for detecting active calls in the cluster coverage, while the FMs without the active user can entirely shut down pilot transmissions and the related processing all the time. So it is suited for self-organizing networks (SONs). With the practical LTE system parameters, simulation results show that the proposed algorithm outperforms three prominent related schemes in terms of average energy consumption and accumulative interference time. Furthermore, the results provide some guidelines for deploying energy efficient femtocell networks.
Year
Venue
Keywords
2012
WPMC
femtocell networks,large-scale deployment,self-organizing networks,quality of service,pilot transmissions,femtocell bs,energy conservation,clustering based power saving algorithm,self-organized sleep mode,energy saving mode,qos,energy consumption,long term evolution,lte system,accumulative interference time,femtocellular radio,cpsa
Field
DocType
ISSN
Femtocell,Wireless,Efficient energy use,Computer science,Computer network,Algorithm,Quality of service,Cluster analysis,Air interface,Sleep mode,Energy consumption
Conference
1347-6890
ISBN
Citations 
PageRank 
978-1-4673-4533-0
6
0.59
References 
Authors
7
4
Name
Order
Citations
PageRank
Wei Li133228.56
Wei Zheng234230.46
Yuanbao Xie3111.72
Xiangming Wen461882.20